Determination of Satellite Solar panel and bus size from radar images with deep learning

Radar systems play a very important role in Space Situational Awareness (SSA) since they are able to provide a wealth of information on remote objects. In particular, imaging radars can characterize space objects using Inverse Synthetic Aperture Radar (ISAR) techniques. Under the right circumstances, ISAR images can provide details of a...

Waveform-Aware Optimal Window Function Design for Mismatched Filtering

This paper introduces a general framework for waveform-aware optimal window design for mismatch processing. First, the linear relationship between the window function and the output of the mismatch filter, for both frequency and time windowing and a particular waveform, is modeled. Making use of such a relation, typical window constraints are...

2D Matched Filtering with Time-Stretching; Application to Orthogonal Matching Pursuit (OMP)

This paper presents a matched filter which incorporates the time stretching of signals returned from moving targets. This 2D matched filter does not suffer from SNR and resolution degradation due to range migration, and can be used with agile waveforms. The use of this matched filter within the orthogonal matching pursuit (OMP) algorithm, to...

Pulse-to-Pulse Radar-Aided Positioning using Multibeam autofocus

Synthetic aperture radar (SAR) processing on agile radar platforms requires a very accurate estimate of position due to the unpredictable trajectory of such platforms. This is even more challenging in GPS-denied scenarios where the bias in inertial sensors cannot be compensated. In this study, we propose a 3D radar-aided positioning method based...

Motion Estimation and Improved SAR imaging for agile platforms using omnidirectional radar and INS sensor fusion

Accurate motion estimation is a challenging problem for agile radar platforms, even when state of the art Inertial Navigation Sensors (INSs) are used. However, it is an important problem to solve as it can have a large impact on the performance of radar modes such as Synthetic Aperture Radar (SAR). This study addresses the motion estimation...

Radar-Aided Navigation System for Small Drones in GPS-Denied Environments

Continuous navigation is crucial for small drones when flying a pre-planned route or during autonomous flight. In scenarios where a global positioning system (GPS) signal is unavailable, drift in the onboard sensors causes the inertial navigation system (INS) to quickly deviate from the planned route. This paper proposes a radar-aided navigation...

Classification of human activity using radar and video multimodal learning

In the defence and security domain, camera systems are widely used for surveillance. The major advantage of using camera systems for surveillance is that they provide high‐resolution imagery, which is easy to interpret. However, the use of camera systems and optical imagery has some drawbacks, especially for application in the military domain....

ISAR imaging with FMCW multichannel airborne SAR

This paper investigates the benefits of multichannel processing for inverse synthetic aperture radar (ISAR) imaging. There are potential advantages of multichannel processing in radar systems, for example, improved motion estimation, clutter suppression, extraction of supporting information, such as sea wave direction and speed, and ship wake...

IED Command Wire Detection using Multi-Aspect Processing on SAR Images

In this paper, a wire detection algorithm is proposed for synthetic aperture radar (SAR) images. The algorithm is specifically designed for SAR images generated from an agile, drone-mounted, omnidirectional radar array to be used for the detection of improvised explosive devices (IEDs). A multistage approach consisting of denoising, constant...

Radar and Video Multimodal Learning for Human Activity Classification

Camera systems are widely used for surveillance in the security and defense domains. The main advantages of camera systems are their high resolution, their ease of use, and the fact that optical imagery is easy to interpret for human operators. However, particularly when considering application in the defense domain, cameras have some...